CfnApplicationReferenceDataSource

class aws_cdk.aws_kinesisanalytics.CfnApplicationReferenceDataSource(scope, id, *, application_name, reference_data_source)

Bases: CfnResource

Adds a reference data source to an existing application.

Amazon Kinesis Analytics reads reference data (that is, an Amazon S3 object) and creates an in-application table within your application. In the request, you provide the source (S3 bucket name and object key name), name of the in-application table to create, and the necessary mapping information that describes how data in Amazon S3 object maps to columns in the resulting in-application table.

For conceptual information, see Configuring Application Input . For the limits on data sources you can add to your application, see Limits .

This operation requires permissions to perform the kinesisanalytics:AddApplicationOutput action.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-applicationreferencedatasource.html
CloudformationResource:: AWS::KinesisAnalytics::ApplicationReferenceDataSource
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

cfn_application_reference_data_source = kinesisanalytics.CfnApplicationReferenceDataSource(self, "MyCfnApplicationReferenceDataSource",
    application_name="applicationName",
    reference_data_source=kinesisanalytics.CfnApplicationReferenceDataSource.ReferenceDataSourceProperty(
        reference_schema=kinesisanalytics.CfnApplicationReferenceDataSource.ReferenceSchemaProperty(
            record_columns=[kinesisanalytics.CfnApplicationReferenceDataSource.RecordColumnProperty(
                name="name",
                sql_type="sqlType",

                # the properties below are optional
                mapping="mapping"
            )],
            record_format=kinesisanalytics.CfnApplicationReferenceDataSource.RecordFormatProperty(
                record_format_type="recordFormatType",

                # the properties below are optional
                mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.MappingParametersProperty(
                    csv_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.CSVMappingParametersProperty(
                        record_column_delimiter="recordColumnDelimiter",
                        record_row_delimiter="recordRowDelimiter"
                    ),
                    json_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.JSONMappingParametersProperty(
                        record_row_path="recordRowPath"
                    )
                )
            ),

            # the properties below are optional
            record_encoding="recordEncoding"
        ),

        # the properties below are optional
        s3_reference_data_source=kinesisanalytics.CfnApplicationReferenceDataSource.S3ReferenceDataSourceProperty(
            bucket_arn="bucketArn",
            file_key="fileKey",
            reference_role_arn="referenceRoleArn"
        ),
        table_name="tableName"
    )
)

Parameters:

scope (Construct) – Scope in which this resource is defined.
id (str) – Construct identifier for this resource (unique in its scope).
application_name (str) – Name of an existing application.
reference_data_source (Union[IResolvable, ReferenceDataSourceProperty, Dict[str, Any]]) – The reference data source can be an object in your Amazon S3 bucket. Amazon Kinesis Analytics reads the object and copies the data into the in-application table that is created. You provide an S3 bucket, object key name, and the resulting in-application table that is created. You must also provide an IAM role with the necessary permissions that Amazon Kinesis Analytics can assume to read the object from your S3 bucket on your behalf.

Methods

add_deletion_override(path)

Syntactic sugar for addOverride(path, undefined).

Parameters:: path (str) – The path of the value to delete.
Return type:: None

add_dependency(target)

Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.

Parameters:

target (CfnResource) –

Return type:

None

add_depends_on(target)

(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

Parameters:

target (CfnResource) –

Deprecated:

use addDependency

Stability:

deprecated

Return type:

None

add_metadata(key, value)

Add a value to the CloudFormation Resource Metadata.

Parameters:

key (str) –
value (Any) –

See:

Return type:

None

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

add_override(path, value)

Adds an override to the synthesized CloudFormation resource.

To add a property override, either use addPropertyOverride or prefix path with “Properties.” (i.e. Properties.TopicName).

If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.

To include a literal . in the property name, prefix with a \. In most programming languages you will need to write this as "\\." because the \ itself will need to be escaped.

For example:

cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"])
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")

would add the overrides Example:

"Properties": {
  "GlobalSecondaryIndexes": [
    {
      "Projection": {
        "NonKeyAttributes": [ "myattribute" ]
        ...
      }
      ...
    },
    {
      "ProjectionType": "INCLUDE"
      ...
    },
  ]
  ...
}

The value argument to addOverride will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.

Parameters:

path (str) –
- The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (Any) –
- The value. Could be primitive or complex.

Return type:

None

add_property_deletion_override(property_path)

Adds an override that deletes the value of a property from the resource definition.

Parameters:: property_path (str) – The path to the property.
Return type:: None

add_property_override(property_path, value)

Adds an override to a resource property.

Syntactic sugar for addOverride("Properties.<...>", value).

Parameters:

property_path (str) – The path of the property.
value (Any) – The value.

Return type:

None

apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)

Sets the deletion policy of the resource based on the removal policy specified.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT). A list of resources that support this policy can be found in the following link:

Parameters:

policy (Optional[RemovalPolicy]) –
apply_to_update_replace_policy (Optional[bool]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: true
default (Optional[RemovalPolicy]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.

See:

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html#aws-attribute-deletionpolicy-options

Return type:

None

get_att(attribute_name, type_hint=None)

Returns a token for an runtime attribute of this resource.

Ideally, use generated attribute accessors (e.g. resource.arn), but this can be used for future compatibility in case there is no generated attribute.

Parameters:

attribute_name (str) – The name of the attribute.
type_hint (Optional[ResolutionTypeHint]) –

Return type:

Reference

get_metadata(key)

Retrieve a value value from the CloudFormation Resource Metadata.

Parameters:

key (str) –

See:

Return type:

Any

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

inspect(inspector)

Examines the CloudFormation resource and discloses attributes.

Parameters:: inspector (TreeInspector) – tree inspector to collect and process attributes.
Return type:: None

obtain_dependencies()

Retrieves an array of resources this resource depends on.

This assembles dependencies on resources across stacks (including nested stacks) automatically.

Return type:: List[Union[Stack, CfnResource]]

obtain_resource_dependencies()

Get a shallow copy of dependencies between this resource and other resources in the same stack.

Return type:: List[CfnResource]

override_logical_id(new_logical_id)

Overrides the auto-generated logical ID with a specific ID.

Parameters:: new_logical_id (str) – The new logical ID to use for this stack element.
Return type:: None

remove_dependency(target)

Indicates that this resource no longer depends on another resource.

This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.

Parameters:

target (CfnResource) –

Return type:

None

replace_dependency(target, new_target)

Replaces one dependency with another.

Parameters:

target (CfnResource) – The dependency to replace.
new_target (CfnResource) – The new dependency to add.

Return type:

None

to_string()

Returns a string representation of this construct.

Return type:: str
Returns:: a string representation of this resource

Attributes

CFN_RESOURCE_TYPE_NAME = 'AWS::KinesisAnalytics::ApplicationReferenceDataSource'

application_name: Name of an existing application.

attr_id

Id

Type:: cloudformationAttribute

cfn_options: Options for this resource, such as condition, update policy etc.

cfn_resource_type: AWS resource type.

creation_stack

return:

the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.

logical_id

The logical ID for this CloudFormation stack element.

The logical ID of the element is calculated from the path of the resource node in the construct tree.

To override this value, use overrideLogicalId(newLogicalId).

Returns:

the logical ID as a stringified token. This value will only get resolved during synthesis.

node: The tree node.

ref

Return a string that will be resolved to a CloudFormation { Ref } for this element.

If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through Lazy.any({ produce: resource.ref }).

reference_data_source: The reference data source can be an object in your Amazon S3 bucket.

stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).

Static Methods

classmethod is_cfn_element(x)

Returns true if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of instanceof to allow stack elements from different versions of this library to be included in the same stack.

Parameters:

x (Any) –

Return type:

bool

Returns:

The construct as a stack element or undefined if it is not a stack element.

classmethod is_cfn_resource(x)

Check whether the given object is a CfnResource.

Parameters:

x (Any) –

Return type:

bool

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.

Parameters:: x (Any) – Any object.
Return type:: bool
Returns:: true if x is an object created from a class which extends Construct.

CSVMappingParametersProperty

class CfnApplicationReferenceDataSource.CSVMappingParametersProperty(*, record_column_delimiter, record_row_delimiter)

Bases: object

Provides additional mapping information when the record format uses delimiters, such as CSV.

For example, the following sample records use CSV format, where the records use the ‘n’ as the row delimiter and a comma (“,”) as the column delimiter:

"name1", "address1"

"name2", "address2"

Parameters:

record_column_delimiter (str) – Column delimiter. For example, in a CSV format, a comma (“,”) is the typical column delimiter.
record_row_delimiter (str) – Row delimiter. For example, in a CSV format, ‘n’ is the typical row delimiter.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-csvmappingparameters.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

c_sVMapping_parameters_property = kinesisanalytics.CfnApplicationReferenceDataSource.CSVMappingParametersProperty(
    record_column_delimiter="recordColumnDelimiter",
    record_row_delimiter="recordRowDelimiter"
)

Attributes

record_column_delimiter

Column delimiter.

For example, in a CSV format, a comma (“,”) is the typical column delimiter.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-csvmappingparameters.html#cfn-kinesisanalytics-applicationreferencedatasource-csvmappingparameters-recordcolumndelimiter

record_row_delimiter

Row delimiter.

For example, in a CSV format, ‘n’ is the typical row delimiter.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-csvmappingparameters.html#cfn-kinesisanalytics-applicationreferencedatasource-csvmappingparameters-recordrowdelimiter

JSONMappingParametersProperty

class CfnApplicationReferenceDataSource.JSONMappingParametersProperty(*, record_row_path)

Bases: object

Provides additional mapping information when JSON is the record format on the streaming source.

Parameters:: record_row_path (str) – Path to the top-level parent that contains the records.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-jsonmappingparameters.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

j_sONMapping_parameters_property = kinesisanalytics.CfnApplicationReferenceDataSource.JSONMappingParametersProperty(
    record_row_path="recordRowPath"
)

Attributes

record_row_path

Path to the top-level parent that contains the records.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-jsonmappingparameters.html#cfn-kinesisanalytics-applicationreferencedatasource-jsonmappingparameters-recordrowpath

MappingParametersProperty

class CfnApplicationReferenceDataSource.MappingParametersProperty(*, csv_mapping_parameters=None, json_mapping_parameters=None)

Bases: object

When configuring application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

Parameters:

csv_mapping_parameters (Union[IResolvable, CSVMappingParametersProperty, Dict[str, Any], None]) – Provides additional mapping information when the record format uses delimiters (for example, CSV).
json_mapping_parameters (Union[IResolvable, JSONMappingParametersProperty, Dict[str, Any], None]) – Provides additional mapping information when JSON is the record format on the streaming source.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-mappingparameters.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

mapping_parameters_property = kinesisanalytics.CfnApplicationReferenceDataSource.MappingParametersProperty(
    csv_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.CSVMappingParametersProperty(
        record_column_delimiter="recordColumnDelimiter",
        record_row_delimiter="recordRowDelimiter"
    ),
    json_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.JSONMappingParametersProperty(
        record_row_path="recordRowPath"
    )
)

Attributes

csv_mapping_parameters

Provides additional mapping information when the record format uses delimiters (for example, CSV).

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-mappingparameters.html#cfn-kinesisanalytics-applicationreferencedatasource-mappingparameters-csvmappingparameters

json_mapping_parameters

Provides additional mapping information when JSON is the record format on the streaming source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-mappingparameters.html#cfn-kinesisanalytics-applicationreferencedatasource-mappingparameters-jsonmappingparameters

RecordColumnProperty

class CfnApplicationReferenceDataSource.RecordColumnProperty(*, name, sql_type, mapping=None)

Bases: object

Describes the mapping of each data element in the streaming source to the corresponding column in the in-application stream.

Also used to describe the format of the reference data source.

Parameters:

name (str) – Name of the column created in the in-application input stream or reference table.
sql_type (str) – Type of column created in the in-application input stream or reference table.
mapping (Optional[str]) – Reference to the data element in the streaming input or the reference data source. This element is required if the RecordFormatType is JSON .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordcolumn.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

record_column_property = kinesisanalytics.CfnApplicationReferenceDataSource.RecordColumnProperty(
    name="name",
    sql_type="sqlType",

    # the properties below are optional
    mapping="mapping"
)

Attributes

mapping

Reference to the data element in the streaming input or the reference data source.

This element is required if the RecordFormatType is JSON .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordcolumn.html#cfn-kinesisanalytics-applicationreferencedatasource-recordcolumn-mapping

name

Name of the column created in the in-application input stream or reference table.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordcolumn.html#cfn-kinesisanalytics-applicationreferencedatasource-recordcolumn-name

sql_type

Type of column created in the in-application input stream or reference table.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordcolumn.html#cfn-kinesisanalytics-applicationreferencedatasource-recordcolumn-sqltype

RecordFormatProperty

class CfnApplicationReferenceDataSource.RecordFormatProperty(*, record_format_type, mapping_parameters=None)

Bases: object

Describes the record format and relevant mapping information that should be applied to schematize the records on the stream.

Parameters:

record_format_type (str) – The type of record format.
mapping_parameters (Union[IResolvable, MappingParametersProperty, Dict[str, Any], None]) – When configuring application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordformat.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

record_format_property = kinesisanalytics.CfnApplicationReferenceDataSource.RecordFormatProperty(
    record_format_type="recordFormatType",

    # the properties below are optional
    mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.MappingParametersProperty(
        csv_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.CSVMappingParametersProperty(
            record_column_delimiter="recordColumnDelimiter",
            record_row_delimiter="recordRowDelimiter"
        ),
        json_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.JSONMappingParametersProperty(
            record_row_path="recordRowPath"
        )
    )
)

Attributes

mapping_parameters

When configuring application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordformat.html#cfn-kinesisanalytics-applicationreferencedatasource-recordformat-mappingparameters

record_format_type

The type of record format.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-recordformat.html#cfn-kinesisanalytics-applicationreferencedatasource-recordformat-recordformattype

ReferenceDataSourceProperty

class CfnApplicationReferenceDataSource.ReferenceDataSourceProperty(*, reference_schema, s3_reference_data_source=None, table_name=None)

Bases: object

Describes the reference data source by providing the source information (S3 bucket name and object key name), the resulting in-application table name that is created, and the necessary schema to map the data elements in the Amazon S3 object to the in-application table.

Parameters:

reference_schema (Union[IResolvable, ReferenceSchemaProperty, Dict[str, Any]]) – Describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.
s3_reference_data_source (Union[IResolvable, S3ReferenceDataSourceProperty, Dict[str, Any], None]) – Identifies the S3 bucket and object that contains the reference data. Also identifies the IAM role Amazon Kinesis Analytics can assume to read this object on your behalf. An Amazon Kinesis Analytics application loads reference data only once. If the data changes, you call the UpdateApplication operation to trigger reloading of data into your application.
table_name (Optional[str]) – Name of the in-application table to create.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referencedatasource.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

reference_data_source_property = kinesisanalytics.CfnApplicationReferenceDataSource.ReferenceDataSourceProperty(
    reference_schema=kinesisanalytics.CfnApplicationReferenceDataSource.ReferenceSchemaProperty(
        record_columns=[kinesisanalytics.CfnApplicationReferenceDataSource.RecordColumnProperty(
            name="name",
            sql_type="sqlType",

            # the properties below are optional
            mapping="mapping"
        )],
        record_format=kinesisanalytics.CfnApplicationReferenceDataSource.RecordFormatProperty(
            record_format_type="recordFormatType",

            # the properties below are optional
            mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.MappingParametersProperty(
                csv_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.CSVMappingParametersProperty(
                    record_column_delimiter="recordColumnDelimiter",
                    record_row_delimiter="recordRowDelimiter"
                ),
                json_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.JSONMappingParametersProperty(
                    record_row_path="recordRowPath"
                )
            )
        ),

        # the properties below are optional
        record_encoding="recordEncoding"
    ),

    # the properties below are optional
    s3_reference_data_source=kinesisanalytics.CfnApplicationReferenceDataSource.S3ReferenceDataSourceProperty(
        bucket_arn="bucketArn",
        file_key="fileKey",
        reference_role_arn="referenceRoleArn"
    ),
    table_name="tableName"
)

Attributes

reference_schema

Describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referencedatasource.html#cfn-kinesisanalytics-applicationreferencedatasource-referencedatasource-referenceschema

s3_reference_data_source

Identifies the S3 bucket and object that contains the reference data.

Also identifies the IAM role Amazon Kinesis Analytics can assume to read this object on your behalf. An Amazon Kinesis Analytics application loads reference data only once. If the data changes, you call the UpdateApplication operation to trigger reloading of data into your application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referencedatasource.html#cfn-kinesisanalytics-applicationreferencedatasource-referencedatasource-s3referencedatasource

table_name

Name of the in-application table to create.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referencedatasource.html#cfn-kinesisanalytics-applicationreferencedatasource-referencedatasource-tablename

ReferenceSchemaProperty

class CfnApplicationReferenceDataSource.ReferenceSchemaProperty(*, record_columns, record_format, record_encoding=None)

Bases: object

The ReferenceSchema property type specifies the format of the data in the reference source for a SQL-based Amazon Kinesis Data Analytics application.

Parameters:

record_columns (Union[IResolvable, Sequence[Union[IResolvable, RecordColumnProperty, Dict[str, Any]]]]) – A list of RecordColumn objects.
record_format (Union[IResolvable, RecordFormatProperty, Dict[str, Any]]) – Specifies the format of the records on the reference source.
record_encoding (Optional[str]) – Specifies the encoding of the records in the reference source. For example, UTF-8.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referenceschema.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

reference_schema_property = kinesisanalytics.CfnApplicationReferenceDataSource.ReferenceSchemaProperty(
    record_columns=[kinesisanalytics.CfnApplicationReferenceDataSource.RecordColumnProperty(
        name="name",
        sql_type="sqlType",

        # the properties below are optional
        mapping="mapping"
    )],
    record_format=kinesisanalytics.CfnApplicationReferenceDataSource.RecordFormatProperty(
        record_format_type="recordFormatType",

        # the properties below are optional
        mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.MappingParametersProperty(
            csv_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.CSVMappingParametersProperty(
                record_column_delimiter="recordColumnDelimiter",
                record_row_delimiter="recordRowDelimiter"
            ),
            json_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.JSONMappingParametersProperty(
                record_row_path="recordRowPath"
            )
        )
    ),

    # the properties below are optional
    record_encoding="recordEncoding"
)

Attributes

record_columns

A list of RecordColumn objects.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referenceschema.html#cfn-kinesisanalytics-applicationreferencedatasource-referenceschema-recordcolumns

record_encoding

Specifies the encoding of the records in the reference source.

For example, UTF-8.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referenceschema.html#cfn-kinesisanalytics-applicationreferencedatasource-referenceschema-recordencoding

record_format

Specifies the format of the records on the reference source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-referenceschema.html#cfn-kinesisanalytics-applicationreferencedatasource-referenceschema-recordformat

S3ReferenceDataSourceProperty

class CfnApplicationReferenceDataSource.S3ReferenceDataSourceProperty(*, bucket_arn, file_key, reference_role_arn)

Bases: object

Identifies the S3 bucket and object that contains the reference data.

Also identifies the IAM role Amazon Kinesis Analytics can assume to read this object on your behalf.

An Amazon Kinesis Analytics application loads reference data only once. If the data changes, you call the UpdateApplication operation to trigger reloading of data into your application.

Parameters:

bucket_arn (str) – Amazon Resource Name (ARN) of the S3 bucket.
file_key (str) – Object key name containing reference data.
reference_role_arn (str) – ARN of the IAM role that the service can assume to read data on your behalf. This role must have permission for the s3:GetObject action on the object and trust policy that allows Amazon Kinesis Analytics service principal to assume this role.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-s3referencedatasource.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

s3_reference_data_source_property = kinesisanalytics.CfnApplicationReferenceDataSource.S3ReferenceDataSourceProperty(
    bucket_arn="bucketArn",
    file_key="fileKey",
    reference_role_arn="referenceRoleArn"
)

Attributes

bucket_arn

Amazon Resource Name (ARN) of the S3 bucket.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-s3referencedatasource.html#cfn-kinesisanalytics-applicationreferencedatasource-s3referencedatasource-bucketarn

file_key

Object key name containing reference data.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-s3referencedatasource.html#cfn-kinesisanalytics-applicationreferencedatasource-s3referencedatasource-filekey

reference_role_arn

ARN of the IAM role that the service can assume to read data on your behalf.

This role must have permission for the s3:GetObject action on the object and trust policy that allows Amazon Kinesis Analytics service principal to assume this role.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-applicationreferencedatasource-s3referencedatasource.html#cfn-kinesisanalytics-applicationreferencedatasource-s3referencedatasource-referencerolearn